Learning Bayesian Models with R

Who this book is for

This book is intended for data scientists who analyze large datasets to generate insights and for data engineers who develop platforms, solutions, or applications based on machine learning. Although many data science practitioners are quite familiar with machine learning techniques and R, they may not know about Bayesian inference and its merits. This book, therefore, would be helpful to even experienced data scientists and data engineers to learn about Bayesian methods and incorporate them in to their projects to get better results. No prior experience is required in R or probability theory to use this book.